I built Charlie to remember professional relationships, not just chats
I kept running into the same problem: important professional decisions rarely make sense without the full relationship history.
So I built Charlie.
It remembers each relationship, organizes previous decisions, reviews screenshots and documents, and gives you a clear recommendation, practical next step, and message you can send.
New users can try three complete analyses for free.
I would genuinely value feedback on the quality of the recommendations and anything that feels unclear.
The interesting part is that Charlie is moving beyond storing relationship history into making recommendations.
What would convince users to trust an AI recommendation about an important professional relationship rather than using it only as a memory/search tool?
"Professional relationships, not just chats" — you found the gap. But who's feeling the pain: sales reps who need to remember 500 prospects, or executives who need to remember 50 key partners? The rep wants automation and scale. The exec wants discretion and depth. Same AI, two different products and two different prices.
I like that you’re framing it around relationships rather than conversations. Most AI tools help with the message in front of you, whereas you’re trying to help people make better decisions over time.
I’m curious have you found the biggest challenge is getting users to trust Charlie’s recommendations, or getting them to capture enough context for those recommendations to be genuinely useful?